Evidence map›Paper›PMID 38467325›Full record

ArticleContraception2024

Use of telemedicine to obtain contraception among young adults: Inequities by health insurance.

Jennifer Yarger, Kristine Hopkins, Sarah Elmes, Irene Rossetto, Danielle Van Liefde, Stephanie De La Melena, Cynthia C Harper

Open access · greenAbstract read
In one paragraph

Article in Contraception, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Jennifer YargerPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States; Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, United States. Electronic address: jennifer.yarger@ucsf.edu.
Kristine HopkinsPopulation Research Center, University of Texas at Austin, Austin, TX, United States.
Sarah ElmesBixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, United States.
Irene RossettoPopulation Research Center, University of Texas at Austin, Austin, TX, United States.
Danielle Van LiefdeBixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, United States.
Stephanie De La MelenaBixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, United States.
Cynthia C HarperPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, United States; Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, United States.
Reproductive Science Center · USThe University of Texas at Austin · USInstitute for Reproductive Health · USUniversity of California, San Francisco · US

Funding

UCSF-Kaiser Urological Epidemiology Research Career Development ProgramK12DK111028 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, ALISON · 2016 to 2025
$5.3M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Catherine A Calder · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849NIDDK NIH HHS K12 DK111028
6 · The paper itself

Abstract

objectivesThe objective of this study was to describe the use of telemedicine for contraception in a sample of young adults and examine differences by health insurance coverage. STUDY

designWe analyzed survey data collected from May 2020 to July 2022 from individuals at risk of pregnancy aged 18 to 29 recruited at 29 community colleges in California and Texas. We used multivariable mixed-effects logistic regression models with random effects for site and individual to compare the use of telemedicine to obtain contraception by insurance status, sociodemographic characteristics, and state.

resultsOur analytic sample included 6465 observations from 1630 individuals. Participants reported using a contraceptive method obtained through telemedicine in just 6% of observations. Uninsured participants were significantly less likely than those privately insured to use contraception obtained through telemedicine (adjusted odds ratio [aOR], 0.54; 95% confidence interval [CI], 0.31-0.97), as were participants who did not know their insurance status (aOR, 0.54; 95% CI, 0.29-0.99). Texas participants were less likely to use contraception obtained via telemedicine than those in California (aOR, 0.42; CI: 0.25-0.69).

conclusionsFew young people in this study obtained contraception through telemedicine, and insurance was crucial for access in both states. IMPLICATIONS: Although telemedicine holds promise for increasing contraceptive access, we found that few young adults were using it, particularly among the uninsured. Efforts are needed to improve young adults' access to telemedicine for contraception and address insurance disparities.

Indexed as

ContraceptionInsurance CoverageInsurance, HealthTelemedicineAdolescentAdultCaliforniaContraception BehaviorFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMalePregnancyTexasYoung AdultContraceptionHealth insuranceTelehealthTelemedicineYoung adult

Identifiers

PMID38467325
PMCPMC11191717
OpenAlexW4392655762

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.